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» Extracting Named Entities and Synonyms from Wikipedia
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CORR
2006
Springer
225views Education» more  CORR 2006»
14 years 12 months ago
Building and displaying name relations using automatic unsupervised analysis of newspaper articles
We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity...
Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, ...
I3
2007
15 years 1 months ago
Identity: How to name it, How to find it
The main objective of this work is to exploit the relationship between the information findability problem and a subject-based organization of information. Identification of a sub...
Christo Dichev, Darina Dicheva, Jan Fischer
WEBI
2007
Springer
15 years 6 months ago
Fact Discovery in Wikipedia
We address the task of extracting focused salient information items, relevant and important for a given topic, from a large encyclopedic resource. Specifically, for a given topic...
Sisay Fissaha Adafre, Valentin Jijkoun, Maarten de...
EMNLP
2008
15 years 1 months ago
Who is Who and What is What: Experiments in Cross-Document Co-Reference
This paper describes a language-independent, scalable system for both challenges of crossdocument co-reference: name variation and entity disambiguation. We provide system results...
Alex Baron, Marjorie Freedman
BMCBI
2008
173views more  BMCBI 2008»
14 years 12 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...